利用小rna作为细菌合成转录后调节因子。

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
ACS Synthetic Biology Pub Date : 2025-07-18 Epub Date: 2025-07-08 DOI:10.1021/acssynbio.5c00118
Jens Georg, Bork A Berghoff, Daniel Schindler
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引用次数: 0

摘要

细菌可以通过表达小rna (sRNAs)来应对环境变化,小rna通过互补碱基配对来调节mrna。这种调节机制允许细菌快速适应它们的蛋白质组。近年来,srna作为合成调控因子的蓝图受到了关注,这些调控因子允许控制用户定义的靶标。为了有效地应用这些多功能、随需应变和易于使用的工具,需要考虑多个方面。计算预测和生物工程概念的进步是系统合成sRNA生物学的曙光。我们概述了sRNA和其他转录后调控因子,强调了成功调控的要求,并提供了设计、构建和sRNA应用的指导方针。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harnessing Small RNAs as Synthetic Post-transcriptional Regulators in Bacteria.

Bacteria can respond to environmental changes by expressing small RNAs (sRNAs), which regulate mRNAs by complementary base-pairing. This regulatory mechanism allows bacteria to rapidly adapt their proteome. In recent years, sRNAs have gained attention as blueprints for synthetic regulators allowing control over user-defined targets. Multiple aspects need to be considered for efficient application of these versatile, on-demand, and easy-to-use tools. Advances in computational prediction and bioengineering concepts are the dawn of systematic synthetic sRNA biology. We provide an overview of sRNAs and alternative post-transcriptional regulators, highlight the requirements for successful regulation, and provide guidelines for design, construction, and sRNA application.

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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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